This lesson demonstrates linear operations using VisiQuest:
Convolution Principles | Circular Convolution Theorem | DFT: Linear Convolution | Image Sharpening | Correlation | Image Enlargement | Image Reduction
Each section takes you through an incremental portion of the lesson while building on skills learned in previous lessons and sections.
Section 1 - Convolution Principles
Concepts of Linear systems and Convolution.
Section 2 - Circular Convolution Theorem
Implement any linear and shift invariant filter using convolution.
Section 3 - DFT: Linear Convolution
Avoid aliasing or wraparound errors when performing a linear convolution.
Highlight fine details in an image.
Determine the degree of similarity between data sets in the spatial domain or frequency domain.
Interpolate missing pixel data in image when an image is enlarged.
An overview of the image reduction algorithm using several primitive operations.